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Pimthong, Pattamaporn; Yutakom, Naruemon; Roadrangka, Vantipa; Sanguanruang, Sudjid; Cowie, Bronwen; Cooper, Beverley – International Journal of Science and Mathematics Education, 2012
The purpose of this study was to enhance the teaching and learning of matter and its properties for grade 6 students. The development of a conceptual change approach instructional unit was undertaken for this purpose. Pre- and post-concept surveys, classroom observations, and student and teacher interviews were used to collect data. The teaching…
Descriptors: Concept Formation, Grade 6, Teaching Methods, Scientific Concepts
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Dogru, Mustafa; Sarac, Esra – Educational Research and Reviews, 2013
The purpose of this study is to reveal the metaphors of primary school students (n = 362) relating to the concept of global warming. Data collected by completing the expression of "global warming is like..., because..." of the students were analysed by use of qualitative and quantitative data analysis techniques. According to findings of…
Descriptors: Elementary School Students, Environmental Education, Data Collection, Figurative Language
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Huff, Kenneth; Lange, Catherine – Science Scope, 2010
In the atmosphere or on the ground, snow provides students with unique opportunities to discover winter weather patterns. Traditionally, when students study weather, it is limited to the collection of data one would see on a weather report. However, the interdisciplinary Students Synthesizing Snow data in Natural Objective Ways (SSSNOW) project…
Descriptors: Weather, Physics, Meteorology, Science Instruction
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection